Model comparison
Qwen1.5 4b Chat vs Yi-34B
Qwen1.5 4b Chat is the stronger model overall, scoring 28.8 to 27.8 on the Noometry Index.
Last verified . 13 shared benchmarks.
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Qwen1.5 4b Chat scores higher in 2 categories and Yi-34B in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen1.5 4b Chat leads 26.7 to 7.5.
Side by side
| Qwen1.5 4b Chat | Yi-34B | |
|---|---|---|
| Provider | Alibaba (Qwen) | 01.AI |
| Noometry Index | 28.8 | 27.8 |
| Released | — | 2023-11-02 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 13 | 23 |
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Category by category
Coding Yi-34B leads
Qwen1.5 4b Chat: 29.1 (#308), Yi-34B: 32.3 (#274)
| Benchmark | Qwen1.5 4b Chat | Yi-34B |
|---|---|---|
| LMArena Coding | 999 | 1112 |
Reasoning Yi-34B leads
Qwen1.5 4b Chat: 18.5 (#279), Yi-34B: 21.2 (#226)
| Benchmark | Qwen1.5 4b Chat | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 976 | 1104 |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |
Math Qwen1.5 4b Chat leads
Qwen1.5 4b Chat: 30.4 (#234), Yi-34B: 21.6 (#282)
| Benchmark | Qwen1.5 4b Chat | Yi-34B |
|---|---|---|
| LMArena Math | 1026 | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Qwen1.5 4b Chat leads
Qwen1.5 4b Chat: 26.7 (#255), Yi-34B: 7.5 (#309)
| Benchmark | Qwen1.5 4b Chat | Yi-34B |
|---|---|---|
| LMArena Expert | 980 | 1061 |
| GPQA Diamond | — | 14.7% |
| MMLU | — | 76.3% |
Multilingual Yi-34B leads
Qwen1.5 4b Chat: 24.1 (#290), Yi-34B: 29.7 (#264)
| Benchmark | Qwen1.5 4b Chat | Yi-34B |
|---|---|---|
| LMArena Non-English | 979 | 1079 |
| LMArena Chinese | 1024 | 1176 |
| LMArena German | 902 | 1042 |
| LMArena Russian | 952 | 1050 |
| LMArena French | — | 1081 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Spanish | — | 1070 |
Instruction Following Yi-34B leads
Qwen1.5 4b Chat: 49.0 (#300), Yi-34B: 56.2 (#274)
| Benchmark | Qwen1.5 4b Chat | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 978 | 1091 |
Long Context Yi-34B leads
Qwen1.5 4b Chat: 30.1 (#290), Yi-34B: 33.2 (#264)
| Benchmark | Qwen1.5 4b Chat | Yi-34B |
|---|---|---|
| LMArena Longer Query | 988 | 1094 |
Writing & Preference Yi-34B leads
Qwen1.5 4b Chat: 23.8 (#309), Yi-34B: 34.1 (#273)
| Benchmark | Qwen1.5 4b Chat | Yi-34B |
|---|---|---|
| LMArena Text | 997 | 1129 |
| LMArena Creative Writing | 969 | 1108 |
| LMArena Multi-Turn | 977 | 1113 |
Frequently asked questions
Is Qwen1.5 4b Chat better than Yi-34B?
Qwen1.5 4b Chat is the stronger model overall, scoring 28.8 to 27.8 on the Noometry Index.
Is Qwen1.5 4b Chat or Yi-34B better for coding?
Yi-34B scores higher on coding benchmarks: 32.3 versus 29.1 in the Noometry coding category.
How many benchmarks do Qwen1.5 4b Chat and Yi-34B share?
13 benchmarks have published results for both models. Qwen1.5 4b Chat has 13 scored results on Noometry and Yi-34B has 23.